Adaptive Learning System for Flow Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F12%3A50000507" target="_blank" >RIV/62690094:18450/12:50000507 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Learning System for Flow Control
Original language description
The computer network flow control problem has been a recurring theme for long time. The main objective has always been to use network resources efficiently where to prevent the data packet loss, which requires retransmission of the lost information. Thisarticle presents the theoretical background necessary to understand the flow control, the existing research in this area and a theoretical background of the intelligent systems and the neural networks. The MF-ARTMAP neural network is introduced, which fulfill the conditions of adaptive learning systems. Experiment for usage of the MF-ARTMAP ANN as adaptive learning system for congestion control is proposed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied informatics and computing theory (AICT 12)
ISBN
978-1-61804-130-2
ISSN
1790-5109
e-ISSN
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Number of pages
6
Pages from-to
299-304
Publisher name
World scientific and engineering academy and society
Place of publication
Athens
Event location
Barcelona
Event date
Oct 17, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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